Graph neural networks for network analysis

Graph neural networks for network analysis

<p>With an increasing number of applications where data can be represented as graphs, graph neural networks (GNNs) are a useful tool to apply deep learning to graph data. Signed and directed networks are important forms of networks that are linked to many real-world problems, such as ranking f...

Deskribapen osoa

Xehetasun bibliografikoak
Egile nagusia:	He, Y
Beste egile batzuk:	Dong, X
Formatua:	Thesis
Hizkuntza:	English
Argitaratua:	2024
Gaiak:	Neural networks (computer science) Deep learning (machine learning) Machine learning Graph theory Social sciences > network analysis

Antzeko izenburuak

JGNN: Graph Neural Networks on native Java
nork: Emmanouil Krasanakis, et al.
Argitaratua: (2023-07-01)

Auto-GNN: Neural architecture search of graph neural networks
nork: Kaixiong Zhou, et al.
Argitaratua: (2022-11-01)

FloodGNN-GRU: a spatio-temporal graph neural network for flood prediction
nork: Arnold Kazadi, et al.
Argitaratua: (2024-01-01)

Graph neural networks with a distribution of parametrized graphs
nork: Lee, See Hian, et al.
Argitaratua: (2024)

p2pGNN: A Decentralized Graph Neural Network for Node Classification in Peer-to-Peer Networks
nork: Emmanouil Krasanakis, et al.
Argitaratua: (2022-01-01)

Improved Lipophilicity and Aqueous Solubility Prediction with Composite Graph Neural Networks
nork: Oliver Wieder, et al.
Argitaratua: (2021-10-01)

GNNGLY: Graph Neural Networks for Glycan Classification
nork: Alhasan Alkuhlani, et al.
Argitaratua: (2023-01-01)

reg-sgc: An open-source software for regularized Simple Graph Convolution
nork: Patrick Pho, et al.
Argitaratua: (2023-02-01)

Understanding approximation for Bayesian inference in neural networks
nork: Farquhar, S
Argitaratua: (2022)

Survey on graph embeddings and their applications to machine learning problems on graphs
nork: Ilya Makarov, et al.
Argitaratua: (2021-02-01)

A graph neural network simulation of dispersed systems
nork: Aref Hashemi, et al.
Argitaratua: (2025-01-01)

A Review of Graph Neural Networks and Their Applications in Power Systems
nork: Wenlong Liao, et al.
Argitaratua: (2022-01-01)

Towards effective graph representations by leveraging geometric concepts
nork: Lee, See Hian
Argitaratua: (2024)

Neural Networks and Deep Learning : A Textbook /
nork: Aggarwal, Charu C., author 275428
Argitaratua: (2018)

Graph neural networks: A review of methods and applications
nork: Jie Zhou, et al.
Argitaratua: (2020-01-01)

Graph-Informed Neural Networks for Regressions on Graph-Structured Data
nork: Stefano Berrone, et al.
Argitaratua: (2022-03-01)

Graph neural network and machine learning analysis of functional neuroimaging for understanding schizophrenia
nork: Gayathri Sunil, et al.
Argitaratua: (2024-01-01)

Graph neural differential equation networks for improved representation learning and robustness
nork: Zhao, Kai
Argitaratua: (2025)

Application of graph neural networks to predict explosion-induced transient flow
nork: Ginevra Covoni, et al.
Argitaratua: (2024-09-01)

Inductive inference of gene regulatory network using supervised and semi-supervised graph neural networks
nork: Juexin Wang, et al.
Argitaratua: (2020-01-01)

The Impact of Global Structural Information in Graph Neural Networks Applications
nork: Davide Buffelli, et al.
Argitaratua: (2022-01-01)

Graph neural networks and cross-protocol analysis for detecting malicious IP addresses
nork: Yonghong Huang, et al.
Argitaratua: (2022-09-01)

Neural networks and statistical learning /
nork: Du, Ke-Lin, author, et al.
Argitaratua: (2014)

GNNkeras: A Keras-based library for Graph Neural Networks and homogeneous and heterogeneous graph processing
nork: Niccolò Pancino, et al.
Argitaratua: (2022-06-01)

Enhancement of fault detection at transmitter optical subassembly process using artificial neural network /
nork: Anurag Das, 1991- author 633745, et al.
Argitaratua: (2018)

Investigating graph neural networks and classical feature-extraction techniques in activity-cliff and molecular property prediction
nork: Dablander, MF
Argitaratua: (2023)

Graph Neural Networks: A Bibliometric Mapping of the Research Landscape and Applications
nork: Annielle Mendes Brito da Silva, et al.
Argitaratua: (2024-10-01)

Quantum computing and quantum neural networks: their foundation, optimisation, and application
nork: Pointing, J
Argitaratua: (2024)

Understanding convolutional neural networks
nork: Fong, R
Argitaratua: (2020)

Scalable algorithms for physics-informed neural and graph networks
nork: Khemraj Shukla, et al.
Argitaratua: (2022-01-01)

Bioactivity classification of anti aids compounds using neural network and and support vector machine : a comparison /
nork: 405154 Rahayu A. Hamid
Argitaratua: (2005)

CayleyNets : graph convolutional neural networks with complex rational spectral filters
nork: Levie, Ron, et al.
Argitaratua: (2020)

Universality of Büchi Automata: Analysis With Graph Neural Networks
nork: Christophe Stammet, et al.
Argitaratua: (2023-01-01)

Bioactivity classification of anti aids compounds using neural network and and support vector machine [compact disc] : a comparison /
nork: 405154 Rahayu A. Hamid
Argitaratua: (2005)

A Comprehensive Survey of Graph Neural Networks for Knowledge Graphs
nork: Zi Ye, et al.
Argitaratua: (2022-01-01)

Deep learning for graph structured data
nork: Dwivedi Vijay Prakash
Argitaratua: (2024)

An Efficient Optimization Technique for Training Deep Neural Networks
nork: Faisal Mehmood, et al.
Argitaratua: (2023-03-01)

Harnessing Graph Neural Networks to Predict International Trade Flows
nork: Bassem Sellami, et al.
Argitaratua: (2024-06-01)

A Novel Graph Neural Network Methodology to Investigate Dihydroorotate Dehydrogenase Inhibitors in Small Cell Lung Cancer
nork: Hong-Yi Zhi, et al.
Argitaratua: (2021-03-01)

Survey on Graph Neural Networks
nork: Georgios Gkarmpounis, et al.
Argitaratua: (2024-01-01)